Abstract #3383

Evaluation of gray matter degeneration in Parkinson’s disease by using neurite-orientation dispersion and density imaging: Analysis by gray matter-based spatial statistics

Koji Kamagata¹, Kouhei Tsuruta², Taku Hatano³, Keigo Shimoji⁴, Masaaki Hori¹, Ayami Okuzumi³, Misaki Nakazawa², Syo Murata², Ryo Ueda², and Shigeki Aoki¹

¹Department of Radiology, Juntendo University, Tokyo, Japan, ²Department of Radiological Sciences, Tokyo Metropolitan University, Tokyo, Japan, ³Department of Neurology, Juntendo University, Tokyo, Japan, ⁴Department of Diagnostic Radiology, Tokyo Metropolitan Geriatric Hospital, Tokyo, Japan

In this study, neurite-orientation dispersion and density imaging were used to estimate structural changes of neurites in the gray matter of the brain, which is the earliest pathological change in patients with PD. The results showed a significant decrease in the intracellular volume fraction in the right amygdala and right putamen in PD, suggesting a decrease in neurite density that may reflect actual pathological change. Given that NODDI could detect pathological changes at the earliest stages in PD, it may be useful for early diagnosis.

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